Professor Dave Explains
Mushroom Identification Terminology
We now know a bit about mushrooms, their structure, and their life cycle, but let's learn a bit more terminology before we dive head first into the world of mushrooms. We know about stipes and caps and partial veils and spores, but...
Professor Dave Explains
Ferns: The Emergence of Roots and Stems
We just learned about lycophytes, so which plants came next on the evolutionary timeline? Those would be ferns. With ferns we finally arrive at a type of plant which should actually look quite familiar to most people, even though these...
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Components of Convolutional Neural Networks
In this video, you will learn about the components of Convolutional Neural Networks. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
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Python for Machine Learning - The Complete Beginners Course - Visualizing the Dataset
In this video, you will learn how to visualize the dataset. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
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Python for Machine Learning - The Complete Beginners Course - Sorting by Title and Rating
In this video, you will learn how to sort by title and rating. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the recommender...
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Python for Machine Learning - The Complete Beginners Course - Setting Up Python
In this video, you will learn how to set up Python. This clip is from the chapter "Optional: Setting Up Python and ML Algorithms Implementation" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
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Python for Machine Learning - The Complete Beginners Course - Introduction - Classification Algorithms: Logistic Regression
In this video, we will have a quick introduction. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model
In this video, you will learn how to train the model. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Multiple Linear Regression
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Confusion Matrix - Classification Algorithms: K-Nearest Neighbors
In this video, you will learn about results prediction and confusion matrix. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Predicting the Test Set Results
In this video, you will learn how to predict the test set results. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Simple Linear Regression
In this video, you will learn how to import libraries and datasets. This clip is from the chapter "Simple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Encoding Categorical Data - Classification Algorithms: Decision Tree
In this video, you will learn how to encode categorical data. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Python for Machine Learning - The Complete Beginners Course - Hierarchical Clustering
In this video, we will cover hierarchical clustering. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
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Python for Machine Learning - The Complete Beginners Course - Frequency Distribution
In this video, you will learn about frequency distribution. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the recommender...
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Python for Machine Learning - The Complete Beginners Course - Evaluating the Performance of the Regression Model
In this video, you will learn how to evaluate the performance of the regression model. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
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Python for Machine Learning - The Complete Beginners Course - Decision Tree Structure
In this video, we will cover the decision tree structure. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Deep Learning CNN Convolutional Neural Networks with Python - Image Classification Revisited
This video focuses on image classification revisited. This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).
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Python for Machine Learning - The Complete Beginners Course - Density-Based Clustering
In this video, we will cover density-based clustering. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
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Practical Data Science using Python - Classification Problems and Performance Metrics
This video explains classification problems and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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Python In Practice - 15 Projects to Master Python - Predicting Whether It Will Rain or Not and Testing the Predictions
This video explains predicting whether it will rain or not and testing the predictions. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Kernel PCA Versus the Rest
In this video, we will cover Kernel PCA versus the rest. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: RCNN
In this video, we will cover RCNN. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover the...
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Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: Image Classification Revisited
In this video, we will cover image classification revisited. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...